ggml_freeze_weights: Freeze Layer Weights

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Freeze Layer Weights

Description

Sets trainable = FALSE on layers, preventing their weights from being updated during training. Accepts optional from / to to freeze a range of layers by index, or layer_names to freeze by name. If none are provided, all layers are frozen.

Usage

ggml_freeze_weights(
  model,
  from = 1L,
  to = length(model$layers),
  layer_names = NULL,
  ...
)

Arguments

model	A model object (ggml_sequential_model or ggml_functional_model)
from	Integer index of the first layer to freeze (default: 1)
to	Integer index of the last layer to freeze (default: last layer)
layer_names	Character vector of layer names to freeze (overrides from/to)
...	Additional arguments passed to methods

Value

The model with selected layers frozen.

Examples

model <- ggml_model_sequential() |>
  ggml_layer_dense(64, activation = "relu") |>
  ggml_layer_dense(10, activation = "softmax")

# Freeze all layers
model <- ggml_freeze_weights(model)

# Freeze only the first layer
model <- ggml_freeze_weights(model, from = 1, to = 1)

ggmlR documentation built on July 14, 2026, 1:08 a.m.